diff --git a/Lessons/lesson1.qmd b/Lessons/lesson1.qmd
index 9b5b8f0..05958e1 100644
--- a/Lessons/lesson1.qmd
+++ b/Lessons/lesson1.qmd
@@ -26,7 +26,7 @@ Once you've got your Kaggle account set up, you'll need to get familiar with [Ju
 
 OK, now that you have your Kaggle account and know how to use Jupyter, you're ready to open the notebook for this lesson: [here it is](https://www.kaggle.com/code/jhoward/is-it-a-bird-creating-a-model-from-your-own-data). For every lesson, you can find links to all notebooks used in the *Resources* section of the lesson web page. For instance, for lesson 1, you'll see that section immediately below this one.
 
-As well as watching the video and working through the notebooks, you should also read the relevent chapter(s) of the fast.ai book, [Practical Deep Learning for Coders](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch-ebook-dp-B08C2KM7NR/dp/B08C2KM7NR). Each lesson will tell you what chapter you need to read, just below the video. For this lesson, it's chapter 1. There's a few ways to read the book -- you can buy it as a paper book or Kindle ebook, or you can read it for free as a Jupyter notebook. The whole book is written as Jupyter notebooks, so you can also execute all the code in the book yourself. To go to the interactive Jupyter version of any chapter, click [The book](../Resources/book.html) in the left sidebar, where you'll find a list of chapter links. You'll also find links to read-only versions of each chapter there.
+As well as watching the video and working through the notebooks, you should also read the relevant chapter(s) of the fast.ai book, [Practical Deep Learning for Coders](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch-ebook-dp-B08C2KM7NR/dp/B08C2KM7NR). Each lesson will tell you what chapter you need to read, just below the video. For this lesson, it's chapter 1. There's a few ways to read the book -- you can buy it as a paper book or Kindle ebook, or you can read it for free as a Jupyter notebook. The whole book is written as Jupyter notebooks, so you can also execute all the code in the book yourself. To go to the interactive Jupyter version of any chapter, click [The book](../Resources/book.html) in the left sidebar, where you'll find a list of chapter links. You'll also find links to read-only versions of each chapter there.
 
 ## Resources